Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging

Silvia Baglietto, Ibolya E. Kepiro, Gerrit Hilgen, Evelyne Sernagor, Vittorio Murino, Diego Sona

Abstract

The visual information processing starts in the retina. The working mechanisms of its complex stratified circuits, in which ganglion cells play a central role, is still largely unknown. Understanding the visual coding is a challenging and active research area also requiring automated analysis of retinal images. It demands appropriate algorithms and methods for studying a network population of strictly entangled cells. Within this framework, we propose a combined technique for segmenting retinal ganglion cell (RGC) bodies, the output elements of the retina. The method incorporates a blob enhancement filtering in order to select the specific cell shapes, an active contour process for precise border segmentation and a watershed transform step which separates single cell contours in possible grouped segmentations. The proposed approach has been validated on fluorescent microscopy images of mouse retinas with promising results.

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Paper Citation


in Harvard Style

Baglietto S., Kepiro I., Hilgen G., Sernagor E., Murino V. and Sona D. (2017). Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017) ISBN 978-989-758-215-8, pages 17-23. DOI: 10.5220/0006110300170023


in Bibtex Style

@conference{bioimaging17,
author={Silvia Baglietto and Ibolya E. Kepiro and Gerrit Hilgen and Evelyne Sernagor and Vittorio Murino and Diego Sona},
title={Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)},
year={2017},
pages={17-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006110300170023},
isbn={978-989-758-215-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2017)
TI - Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging
SN - 978-989-758-215-8
AU - Baglietto S.
AU - Kepiro I.
AU - Hilgen G.
AU - Sernagor E.
AU - Murino V.
AU - Sona D.
PY - 2017
SP - 17
EP - 23
DO - 10.5220/0006110300170023